The active session (which set you are on, and the reps done so far) lived only in app-private SQLite. An uninstall — or `pm clear`, which sounds harmless and is not — wipes that, so a user standing mid-workout loses the exact set and rep they were on. `backup.json` did not help: it mirrors only COMPLETED history. This is not hypothetical; it happened, mid-workout, and the state had to be re-entered by hand. Persistence granularity was already right (saveActiveSession fires on every set tap, untap, warmup and break change, storing `tapped` + `doneReps`). Only the LOCATION was wrong, so this mirrors it the same way the sync token already is: - BackupService.exportActiveSession/readActiveSession keep /sdcard/WorkoutTracker/active_session.json; a null export clears it. - StorageService.saveActiveSession mirrors on every write; loadActiveSession falls back to the mirror and re-seeds the table when it is empty — exactly the state after a wipe; clearActiveSession clears the mirror too, so a finished workout is never resurrected. - Both reads are defensive: a truncated/non-object mirror (battery death mid-set) is ignored rather than bricking the resume. Tested by simulating the wipe in the suite (resetForTesting + fresh init with the mirror intact), not on a real device holding real data. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Fv8ULVt3Q67GwCFbM7doHB |
||
|---|---|---|
| .github/workflows | ||
| docs | ||
| screen_locker | ||
| scripts | ||
| stronglift_replacement | ||
| .gitignore | ||
| .mcp.json | ||
| .pre-commit-config.yaml | ||
| CLAUDE.md | ||
| early-bird-workout-check.timer | ||
| install_autostart.sh | ||
| install_systemd.sh | ||
| pyproject.toml | ||
| README.md | ||
| remove_autostart.sh | ||
| remove_systemd.sh | ||
| requirements.txt | ||
| run.sh | ||
| workout-locker.service | ||
screen-locker
Tkinter/systemd screen locker with workout tracking, sick-day management, and wake-alarm integration. It enforces a workout cadence by locking the screen until a RunnerUp-verified (or explicitly justified) workout is logged.
MCP server (Claude Code integration)
screen-locker exposes a read-only MCP server (screen_locker._mcp) so
Claude Code and its subagents can query workout compliance and the
lock-decision state through typed tools — without shelling out to the
screen-locker-status CLI or opening the Tk window.
- Read-only tools:
get_status(full status snapshot),get_summary(one-line i3blocks summary +ok/warn/lockstate word),explain_lock(why the screen is / isn't locked right now),get_flags(the individual boolean lock-decision predicates for today). - There are no write/action tools, by design. Nothing here logs a workout or mutates state — workouts are logged only from RunnerUp-verified TCX data, never from a caller's claim. No tool exposes the sync token or any HMAC key.
The mcp SDK is an optional dependency (pip install -e '.[mcp]'), kept out of
the CLI/systemd system-python path. One-time setup of the dedicated venv that
Claude Code spawns:
./scripts/setup_mcp.sh
Registration lives in the checked-in .mcp.json (project scope).
Restart Claude Code in this repo and approve the project MCP-server prompt for it
to load. Verify with claude mcp list.